Zobrazeno 1 - 10
of 1 921
pro vyhledávání: '"S Reza"'
Autor:
Amir Kaffashi, Jiabin Huang, Amir Bairami, Mohammad Hossein Fallah Mehrabadi, Somayeh Yaslianifard, Mohsen Bashashati, S Reza Banihashemi, Fatemeh Soleimanifar, Mohsen Lotfi, Morteza Taghizadeh, Alireza Soleimani, Akbar Khorasani, Farzaneh Moshiri, Sayed-Hamidreza Mozhgani
Publikováno v:
Heliyon, Vol 7, Iss 9, Pp e08027- (2021)
Iran was among countries which was hard hit at the early stage of the coronavirus disease 2019 (COVID-19) pandemic and dealt with the second wave of the pandemic in May and June 2020; however, there are a very limited number of complete genome sequen
Externí odkaz:
https://doaj.org/article/97ffe796d02e4d2d8ac9913589c6dc87
Autor:
Lan, Zechen, Arikawa, Yasunobu, Morace, Alessio, Abe, Yuki, Mirfayzi, S. Reza, Wei, Tianyun, Hayakawa, Takehito, Yogo, Akifumi
Recent progress of laser science provides laser-driven neutron source (LDNS), which has remarkable features such as the short pulse width. One of the key techniques to be developed for more efficient use of the LDNS is neutron collimation tubes to in
Externí odkaz:
http://arxiv.org/abs/2403.11528
Autor:
Findik, Yasin, Ahmadzadeh, S. Reza
Tackling multi-agent learning problems efficiently is a challenging task in continuous action domains. While value-based algorithms excel in sample efficiency when applied to discrete action domains, they are usually inefficient when dealing with con
Externí odkaz:
http://arxiv.org/abs/2402.07752
Effective coordination and cooperation among agents are crucial for accomplishing individual or shared objectives in multi-agent systems. In many real-world multi-agent systems, agents possess varying abilities and constraints, making it necessary to
Externí odkaz:
http://arxiv.org/abs/2310.12912
Relational networks within a team play a critical role in the performance of many real-world multi-robot systems. To successfully accomplish tasks that require cooperation and coordination, different agents (e.g., robots) necessitate different priori
Externí odkaz:
http://arxiv.org/abs/2310.12910
Cooperative multi-agent reinforcement learning (MARL) approaches tackle the challenge of finding effective multi-agent cooperation strategies for accomplishing individual or shared objectives in multi-agent teams. In real-world scenarios, however, ag
Externí odkaz:
http://arxiv.org/abs/2310.12909
Autor:
Lan, Zechen, Arikawa, Yasunobu, Mirfayzi, S. Reza, Morace, Alessio, Hayakawa, Takehito, Sato, Hirotaka, Kamiyama, Takashi, Wei, Tianyun, Tatsumi, Yuta, Koizumi, Mitsuo, Abe, Yuki, Fujioka, Shinsuke, Mima, Kunioki, Kodama, Ryosuke, Yogo, Akifumi
The temperature measurement of material inside of an object is one of the key technologies for control of dynamical processes. For this purpose, various techniques such as laser-based thermography and phase-contrast imaging thermography have been stu
Externí odkaz:
http://arxiv.org/abs/2310.00929
In post-disaster scenarios, efficient search and rescue operations involve collaborative efforts between robots and humans. Existing planning approaches focus on specific aspects but overlook crucial elements like information gathering, task assignme
Externí odkaz:
http://arxiv.org/abs/2309.12589
Autor:
Ahmadzadeh, S. Reza
Robots capable of performing manipulation tasks in a broad range of missions in unstructured environments can develop numerous applications to impact and enhance human life. Existing work in robot learning has shown success in applying conventional m
Externí odkaz:
http://arxiv.org/abs/2308.14232
Autor:
Hertel, Brendan, Ahmadzadeh, S. Reza
Publikováno v:
2023 20th International Conference on Ubiquitous Robots (UR) 165-170
Several methods exist for teaching robots, with one of the most prominent being Learning from Demonstration (LfD). Many LfD representations can be formulated as constrained optimization problems. We propose a novel convex formulation of the LfD probl
Externí odkaz:
http://arxiv.org/abs/2305.03091